BSC (HONOURS) Mathematics at Sheffield Hallam University

Here at Sheffield Hallam we provide the knowledge, digital and communication skills necessary for a mathematical career. The focus of the course is the application of mathematical and statistical understanding to a range of real world problems - such problems are rarely presented in a neat mathematical form, and on our course you will learn the techniques needed to describe and solve such problems.

You could be modelling the spread of infectious diseases, simulating the flow of traffic or people, predicting the future behaviour of stock markets, protecting your digital data using cryptography, or working directly with companies to analyse their data.

Our approach to learning is often innovative, research-led, and responsive to student feedback. 

• Our custom-designed learning space enables us to work in small groups, individually, or as a whole class. Many of our sessions are a highly interactive workshop style, mixing lecturer led activity and student exercises.
• We use technology to carry out routine calculations, whilst developing your understanding of the underlying techniques.
• You will develop skills and become proficient in using industry leading software packages such as Excel, SAS and Python.  
• In addition to exams, a variety of coursework designed to develop employability skills is incorporated into the course.

Future careers

Graduates from the Sheffield Hallam maths degree go on to a wide variety of careers including data analysts, finance, computing, programming, and teaching. Our alumni work for a broad range of companies including:

• HSBC, Lloyds Bank (banking & finance)
• Experian (credit risk analysis)
• WSP, BAE Systems (engineering / engineering consultancy) 
• Covance, Parexel (clinical trials)
• NHS England, Disney (data analysis)
• The Civil Service (operational research, statistical analysis)

Several of our students choose to go on to postgraduate study. In recent years, our students have gone on to study further degrees in mathematics, cybersecurity, neuroscience, quantity surveying and teaching.